Their AI firsts include 8-bit model quantization leading to the best power-efficiency toolkit in the industry , on-device learning demonstrating a 30% improvement in keyword detection, federated learning with an end-to-end software framework, video semantic segmentation in real-time, group equivariant CNNs, AI for wireless with the first weakly supervised method for passive RF sensing, video super-resolution at 4K at 100 FPS on mobile, and neural video compression with the first real-time HD...
Today, some AI processing has to be offloaded from the mobile device to a cloud service. However, faster response times, improved privacy, better personalization, and improved understanding within the context of the request will require on-device learning.The researchers at Qualcomm AI Research are pursuing additional new “firsts” that could result in significant value and differentiation for customers and partners.
Increased AI processing on edge devices is both inevitable and extremely valuable to improve user experience and device functionality. The challenges remain daunting, given the limited amount of processing and memory capacity on mobile platforms. Qualcomm Technologies Inc is rising to the challenge, and these 8 “AI Firsts” demonstrate that the organization is already making significant progress, with more innovations in sight.
United States Latest News, United States Headlines
Similar News:You can also read news stories similar to this one that we have collected from other news sources.
Source: ForbesTech - 🏆 318. / 59 Read more »
Source: sfexaminer - 🏆 236. / 63 Read more »
Source: verge - 🏆 94. / 67 Read more »
Source: cleantechnica - 🏆 565. / 51 Read more »
Source: engadget - 🏆 276. / 63 Read more »
Source: CoinDesk - 🏆 291. / 63 Read more »